Evaluation Methodology and Indicator System of Polymetallic Sulfide Mineral Resources in the Southwest Indian Ocean

Ke Shao; Jianping Chen; Mengyi Ren

doi:10.11867/j.issn.1001-8166.2015.07.0812

Advances in Earth Science >

2015 , Vol. 30 >Issue 7: 812 - 822

DOI: https://doi.org/10.11867/j.issn.1001-8166.2015.07.0812

Orginal Article

Evaluation Methodology and Indicator System of Polymetallic Sulfide Mineral Resources in the Southwest Indian Ocean

Ke Shao ,
Jianping Chen ,
Mengyi Ren

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1.China University of Geosciences(Beijing), Beijing 100083
2.Institute of Land Resources and High Techniques, China University of Geosciences(Beijing),100083,China/Beijing Key Laboratory of Research and Exploration of Land Resources, Beijing 100083;

Online published: 2015-07-20

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地球科学进展编辑部, 2015,

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Abstract

Based on the research of minerogenetic condition, ore-control factors, metallogenic geological environment and geological anomaly of polymetallic sulfide in Indian Ocean, the nine evaluation factors include water depth, structure, earthquake, gravity anomalies, magnetic anomalies, etc. were extracted and standardized. According to hierarchy analysis method, a structural model of four levels was designed. The comparison matrix was established to determinate thefactor weight. A set of perfectEvaluation methodology and indicator system was established. The results showed that the most favorable prospecting areas cover 58.33% of the research area and the more favorable prospecting areas cover 32.41% of the research area. This two areas are mainprospecting targets. This research findings provided a basis for lessening the target area in the future.

Key words： Indian Ocean; Polymetallic sulfide deposits; Hierarchy analysis; Geological anomaly; Indicator system.

Cite this article

Ke Shao , Jianping Chen , Mengyi Ren . Evaluation Methodology and Indicator System of Polymetallic Sulfide Mineral Resources in the Southwest Indian Ocean[J]. Advances in Earth Science, 2015 , 30(7) : 812 -822 . DOI: 10.11867/j.issn.1001-8166.2015.07.0812

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